{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T07:02:56.854655400Z",
     "start_time": "2025-06-25T07:02:56.499742600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot([1,2,3,4],[2,4,6,8])\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T07:06:19.768957800Z",
     "start_time": "2025-06-25T07:06:19.686058300Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "#给图像加刻度"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [
    "x=range(1,5)\n",
    "#透明度为2\n",
    "plt.plot(x,[i**2 for i in x],alpha=0.2,linewidth=5)\n",
    "plt.savefig(\"test.svg\")"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "outputs": [
    {
     "data": {
      "text/plain": "[2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24]"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x=range(2,26,2)\n",
    "import random\n",
    "y=[i for i in x]\n",
    "x=[i for i in range(2,26,2)]\n",
    "y\n",
    "x"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T08:18:34.925188200Z",
     "start_time": "2025-06-25T08:18:34.915965500Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [
    {
     "data": {
      "text/plain": "[<matplotlib.lines.Line2D at 0x1c1e7e511f0>]"
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 800x400 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import font_manager\n",
    "my_font=font_manager.FontProperties(fname=\"C:/Windows/Fonts/simhei.ttf\")\n",
    "x=range(0,121)\n",
    "y=[random.randint(0,100) for i in range(121)]\n",
    "plt.figure(figsize=(10,5),dpi=80)\n",
    "plt.xlabel(\"时间\",fontproperties=my_font)\n",
    "plt.ylabel(\"温度\",fontproperties=my_font )\n",
    "plt.grid(alpha=0.4)\n",
    "plt.plot(x,y)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T08:56:23.793132900Z",
     "start_time": "2025-06-25T08:56:23.709684900Z"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "# 多个图"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0.   0.1  0.2  0.3  0.4  0.5  0.6  0.7  0.8  0.9  1.   1.1  1.2  1.3\n",
      "  1.4  1.5  1.6  1.7  1.8  1.9  2.   2.1  2.2  2.3  2.4  2.5  2.6  2.7\n",
      "  2.8  2.9  3.   3.1  3.2  3.3  3.4  3.5  3.6  3.7  3.8  3.9  4.   4.1\n",
      "  4.2  4.3  4.4  4.5  4.6  4.7  4.8  4.9  5.   5.1  5.2  5.3  5.4  5.5\n",
      "  5.6  5.7  5.8  5.9  6.   6.1  6.2  6.3  6.4  6.5  6.6  6.7  6.8  6.9\n",
      "  7.   7.1  7.2  7.3  7.4  7.5  7.6  7.7  7.8  7.9  8.   8.1  8.2  8.3\n",
      "  8.4  8.5  8.6  8.7  8.8  8.9  9.   9.1  9.2  9.3  9.4  9.5  9.6  9.7\n",
      "  9.8  9.9 10. ]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "x=np.linspace(0,10,101)\n",
    "print(x)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T09:27:41.119762800Z",
     "start_time": "2025-06-25T09:27:41.112097200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['兰州' '即将' '大学' '就读于' '杭州' '杭州大学' '毕业' '海南大学' '清华大学' '电子科技' '目前']\n",
      "[[0.         0.25077445 0.35245474 0.50154891 0.35245474 0.\n",
      "  0.25077445 0.35245474 0.25077445 0.35245474 0.25077445]\n",
      " [0.40655943 0.28927039 0.         0.57854077 0.         0.40655943\n",
      "  0.28927039 0.         0.28927039 0.         0.28927039]]\n"
     ]
    }
   ],
   "source": [
    "import jieba\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "test=\"我毕业于清华大学,目前就读于杭州电子科技大学，即将就读于海南大学\"\n",
    "test2=\"我毕业于清华大学,目前就读于杭州大学，即将就读于兰州\"\n",
    "test=list(jieba.cut(test))\n",
    "test2=list(jieba.cut(test2))\n",
    "test=' '.join(test)\n",
    "test2=' '.join(test2)\n",
    "vectorizer=CountVectorizer()\n",
    "t=TfidfVectorizer(smooth_idf=True)\n",
    "data=t.fit_transform([test,test2])\n",
    "print(t.get_feature_names_out())\n",
    "print(data.toarray())"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-25T11:30:29.424178300Z",
     "start_time": "2025-06-25T11:30:29.412078200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import random"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T02:23:09.814311600Z",
     "start_time": "2025-06-27T02:23:09.809845200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "import random"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T03:25:29.461278200Z",
     "start_time": "2025-06-27T03:25:29.451469200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "import random"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T10:26:50.657349300Z",
     "start_time": "2025-06-27T10:26:50.650117200Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "import random"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T10:27:23.247605Z",
     "start_time": "2025-06-27T10:27:23.237964Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.          0.70710678 -1.22474487]\n",
      " [ 1.22474487  0.70710678  0.        ]\n",
      " [-1.22474487 -1.41421356  1.22474487]]\n",
      "[ 1.         -1.33333333  4.        ]\n",
      "[0.66666667 0.22222222 0.66666667]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "std=StandardScaler()\n",
    "data=std.fit_transform([[1.,-1.,3.],[2.,-1.,4.],[0.,-2.,5.]])\n",
    "print(data)\n",
    "print(std.mean_)\n",
    "print(std.var_)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T10:45:34.739264100Z",
     "start_time": "2025-06-27T10:45:34.730356400Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.          0.70710678 -1.22474487]\n",
      " [ 1.22474487  0.70710678  0.        ]\n",
      " [-1.22474487 -1.41421356  1.22474487]]\n",
      "[0. 0. 0.]\n",
      "[1. 1. 1.]\n"
     ]
    }
   ],
   "source": [
    "std1=StandardScaler()\n",
    "data=std1.fit_transform([[ 0.          ,0.70710678, -1.22474487],\n",
    " [ 1.22474487 , 0.70710678 , 0.        ],\n",
    " [-1.22474487 ,-1.41421356 , 1.22474487]])\n",
    "print(data)\n",
    "print(std1.mean_)\n",
    "print(std1.var_)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T10:50:12.317604200Z",
     "start_time": "2025-06-27T10:50:12.310465700Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import random"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-06-27T10:54:37.109634300Z",
     "start_time": "2025-06-27T10:54:37.106126600Z"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   }
  }
 ],
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